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Record W7074600723

Americanizing Canadian Nursing: Nursing Regulation Drift

2017· article· fr· W7074600723 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2017
Typearticle
Languagefr
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational trainingHealth careFrenchPublic policyCommission
DOInot available

Abstract

fetched live from OpenAlex

Recent regulatory changes mean Canadian nurses are writing a US-based entry to practice exam and a US company is assessing credentials of internationally educated nurses (IENs) for Canadian registration. This paper asserts that this policy direction has significant consequences for Canadian content and integrity of education programs, francophone parity in testing, and the future of primary health care and health system reform. Furthermore, writing a US exam means Canada is at risk of losing nursing human resources to the United States while trade agreements endanger Canadian nursing intellectual property. À la suite de changements de réglementation, les diplômés en science infirmière doivent passer un examen d’autorisation à pratiquer mis au point aux EU, et les diplômés internationaux en science infirmière sont évalués par une entreprise, elle aussi des États-Unis. Dans cet article, nous considérons que ces changements ont un impact significatif sur le contenu canadien et l’intégrité des programmes de formation, l’égalité de traitement dans l’évaluation pour les francophones et le futur des soins de santé primaire et la réforme des soins de santé. De plus, en uniformisant l’accréditation avec les EU, le Canada court le risque de laisser partir sa main d’oeuvre infirmière dans ce pays, au moment même où les accords commerciaux mettent en danger la propriété intellectuelle infirmière canadienne.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0030.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.173
GPT teacher head0.537
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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